Evidence map›Paper›PMID 39991116›Full record

ArticleWellcome open research2024

Proteomic profiling of kidney biopsies in nephrotic syndrome.

Emily Williams, Maryline Fresquet, Anna S Li, Craig Lawless, David Knight, Elizabeth Colby, Judy Watson, Gavin I Welsh, Moin A Saleem, Rachel Lennon

Abstract read
In one paragraph

Article in Wellcome open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Laser capture microdissection.Nature reviews. Methods primers · 2025
    Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Emily Williams *Wellcome Centre for Cell-Matrix Research, The University of Manchester, Manchester, England, UK.
Maryline Fresquet *Wellcome Centre for Cell-Matrix Research, The University of Manchester, Manchester, England, UK.
Anna S Li *Wellcome Centre for Cell-Matrix Research, The University of Manchester, Manchester, England, UK.ORCID https://orcid.org/0000-0003-2707-3990
Craig LawlessWellcome Centre for Cell-Matrix Research, The University of Manchester, Manchester, England, UK.
David KnightBiological Mass Spectrometry Cure Facility, The University of Manchester, Manchester, England, UK.
Elizabeth ColbyBristol Renal, University of Bristol Medical School, Bristol, England, UK.
Judy WatsonBristol Renal, University of Bristol Medical School, Bristol, England, UK.
Gavin I WelshBristol Renal, University of Bristol Medical School, Bristol, England, UK.
Moin A SaleemBristol Renal, University of Bristol Medical School, Bristol, England, UK.ORCID https://orcid.org/0000-0002-9808-4518
Rachel LennonWellcome Centre for Cell-Matrix Research, The University of Manchester, Manchester, England, UK.ORCID https://orcid.org/0000-0001-6400-0227

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Minimal change disease (MCD) and focal segmental glomerulosclerosis (FSGS) are patterns of kidney injury observed in the filtering units of the kidney known as glomeruli. These histological patterns are seen in kidney biopsies from individuals with idiopathic nephrotic syndrome (iNS), which occurs in both children and adults. However, there is some indication that MCD and FSGS are within the same phenotypic spectrum. Methods: From the NURTuRE cohort of individuals with NS, we performed laser microdissection and mass spectrometry analysis of kidney biopsy samples to identify proteomic patterns of disease. 56 individuals with iNS segregated by histological pattern (37 MCD and 19 FSGS) across three age groups: early childhood (0-6 years), late childhood (6-18 years) and adult (>18 years). Results: We found no distinct clustering of proteomic profiles between MCD and FSGS, but identified global differences in glomerular cell and extracellular matrix composition related to both histological pattern and age. The proteomic data are available via ProteomeXchange with identifier PXD053362. Conclusions: The lack of distinct clustering between MCD and FSGS in our study suggests shared biological processes between these injury patterns of iNS, supporting the hypothesis that they are part of the same disease spectrum. The global differences observed in glomerular cell and extracellular matrix composition suggest involvement of diverse biogeological processes as different patterns of iNS manifests in different age groups. This study also demonstrates the feasibility of pooling bioresources, central processing of heterogeneous tissue samples, and developing laser-microdissection and proteomic analysis methodology.

Indexed as

focal segmental glomerulosclerosisglobal proteomicslaser-microdissectionminimal changenephrotic syndromeNURTuRE cohort

Identifiers

PMID39991116
PMCPMC11845903

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.